Abstract:
Cloud storage enables to use and manage remote data efficiently but increase the risk of tampering data. This proposed paper a public auditing-based framework to develop a novel system for secure data auditing in cloud storage. We build a dynamic index table with no requirement to transfer elements in the update operation for inserting or deleting. If data is not incorporate in the cloud, the auditor from a third party can identify the corrupted block. The authorization is implemented between cloud storage and third-party to prevent dos attack. The proposed model is flexible, efficient, and secure as per detailed analysis and simulation results.
